Remote Senior Software Consultant (LLM) - 34953

Turing

Bengaluru

Remote

INR 6,036,809 - 18,110,429

Part time

14 days+

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Benefits offered by this job

Flexible work hours

Work on cutting-edge AI technologies

Collaboration with top researchers

Job summary

A fast-growing AI company is seeking a Remote Senior Software Consultant to evaluate AI-generated code quality. You should have over 5 years of software engineering experience, with 2+ years as a Fullstack Engineer at a leading tech firm. This role offers flexible hours and competitive pay, with immediate openings available. You'll be at the forefront of integrating AI into software development.

Qualifications

5+ years of overall professional software engineering experience.
2+ years working full-time as a Fullstack Engineer at a top-tier tech product company.
Skilled at reading and analyzing Git-style diffs.

Responsibilities

Assess AI-generated code for quality, correctness, readability, and efficiency.
Write concise explanations to support each ranking decision.
Work with a team of experts to improve evaluation standards.

Skills

Reading and analyzing Git-style diffs

Structured reasoning in technical explanations

Following guidelines for evaluations

Education

Degree from a top university

Job description

Remote Senior Software Consultant (LLM) - 34953

6 days ago Be among the first 25 applicants

We are seeking experienced software engineers to help evaluate how well AI models handle real software engineering problems. This is a short-term, high-impact role where your engineering expertise will directly influence the training and assessment of next-generation AI systems built for developers.

You’ll be working with a global AI company on a specialized project focused on analyzing code produced by Large Language Models (LLMs). The goal: make these models better at reading, writing, and understanding real-world code.

What You’ll Do

Assess AI-generated code for quality, correctness, readability, and efficiency
Compare multiple code outputs and rank them using clear guidelines
Review code diffs from actual GitHub projects and judge their effectiveness
Write concise explanations to support each ranking decision
Identify edge cases or confusing outputs that indicate AI weaknesses
Work with a team of experts to improve evaluation standards and datasets

Must-Have Requirements

Please do not apply unless you meet all of the following baseline requirements:

Experience:
5+ years of overall professional software engineering experience (experience working as a data scientist will not be considered)
2+ years working full-time as a Fullstack Engineer at a top-tier tech product company
Companies include Google, Datadog, Shopify, Meta, Canva, Amazon, and others.

Note: Contract-only or part-time roles will not be considered as experience

You are skilled at reading and analyzing Git-style diffs
You can write clear, structured reasoning to explain technical choices
You follow rubrics and guidelines to ensure fair, structured evaluations

Nice to Have

Exposure to LLM-generated code or prior experience evaluating model outputs
Degree from a top university (not required, but preferred)
Background in developer tools, automation, or open-source contributions
Experience with AI research or evaluation workflows
Duration: 1 month to start (with possible extensions)
Hours: Flexible work hours with commitment of 10-20 hours/week (must have some overlap with Pacific Time)
Compensation: $50–$150/hour (based on experience and skill level)
Start Date: Immediate openings available (next week)

About Turing:

Turing is one of the world’s fastest-growing AI companies, pushing the boundaries of AI-assisted software development. Our mission is to empower the next generation of AI systems to reason about and work with real-world software repositories. You’ll be working at the intersection of software engineering, open-source ecosystems, and frontier AI.

Why Join Turing?

Be part of a cutting-edge AI project helping shape how developers work with code
Collaborate with world-class AI researchers and engineers
Apply your skills in a meaningful way—on real software, not theoretical examples

Seniority level